Maxinsights Completes $30 Million Seed Funding for Real-World Robot Training Data
Overview
Source roundup from published reports. Claims below are attributed to their publishers, not independently verified. Chinese robotics — Company news discovery: Maxinsights (Haiyu Shuwei) Completes $30 Million Seed Funding for Real-World Robot Training Data Collection. Maxinsights (with the Chinese entity Haiyu Shuwei) announced the completion of a $30 million seed round funding, which will be used for real-world robot training data collection. The company's self-developed MaxLoop syst… Robotics 24/7 — Industry reporting: Maxinsights Launches MaxLoop and MaxGlove to Enhance Physical AI Data Collection. Maxinsights, a California-based company, launched MaxLoop, an agent-in-the-loop system for real-time data scoring and correction, and MaxGlove, a sensor glove for capturing tactile and force data. These tools aim to impr…
Generated from attributed reports · Updated 20 hours ago
Event evidence and corrections
2 attributed source owners. Ownership does not establish independent confirmation. Quantities are reported separately and are never added together.
Reported quantity · hours_processed_per_month: 450000 hours · Basis not reported
“y instead of waiting one to two weeks. Maxinsights said that human auditors are down 90%, from roughly 2,000 to 3,000 to 200, and the company processes 450,000 hours a month. The same models also pull more out of each clip: pose, object states, contact and force . An hour of video that used to teach a model one thing can now teach it several. MaxGlove: Capturing what a camera can’t see Next, the company said that Max”
Exact source · revision 1peerless-media
Reported quantity · hours_model_ready: 1500000 hours · Basis not reported
“es wear its proprietary camera hardware while they load the dishwasher, make a smoothie or wash a car, capturing clear footage compared to shaky iPhone or GoPro videos. Maxinsights touts customer validation The company said that it has captured more than 2 million hours, with 1.5 million hours model-ready and available for immediate delivery. Maxinsights said that it serves over 30 customers, including frontier AI la”
Exact source · revision 1peerless-media
Reported quantity · force_data_target_hours_2027: 1000000 hours · Basis not reported
“bration cycles and yield only 10 to 20 minutes of usable capture a day. Maxinsights said that MaxGlove goes across the existing collection network, and the company is targeting 1 million hours of force data in 2027. “We built the whole pipeline ourselves, from the hand-tracking models to the platform that scores every operator's footage as it arrives, because nobody was going to sell us the pieces that make messy rea”
Exact source · revision 1peerless-media
Reported quantity · egocentric_data_hours_for_gene_26_5: 200000 hours · Basis not reported
“bs and foundation model companies, with eight on recurring contracts. Specifically, Maxinsights said that two of the most closely watched robotics foundation models of 2026 were trained in part on its data: Genesis AI: All 200,000 hours of egocentric data used to train GENE-26.5 were provided exclusively by Maxinsights. The two companies are now developing MaxGlove together to add touch and force data. Dyna Robotics:”
Exact source · revision 1peerless-media
Reported quantity · customers_served: 30 other · Basis not reported
“es wear its proprietary camera hardware while they load the dishwasher, make a smoothie or wash a car, capturing clear footage compared to shaky iPhone or GoPro videos. Maxinsights touts customer validation The company said that it has captured more than 2 million hours, with 1.5 million hours model-ready and available for immediate delivery. Maxinsights said that it serves over 30 customers, including frontier AI la”
Exact source · revision 1peerless-media
Reported quantity · contractors_in_six_countries: 5000 other · Basis not reported
“object interactions. Curate: Search and rebalance the corpus by task, scene, geography, behavior, complexity or whatever a client needs. Deliver: Ship raw or processed datasets, then feed client and model feedback into the next collection cycle. The company said that the captured footage comes from people getting paid to record work they were already doing. Maxinsights said that over 5,000 contractors in six countri”
Exact source · revision 1peerless-media
Reported quantity · video hours collected: 2000000 hours · Basis not reported
“截至目前，这家企业累计采集的视频素材已经突破200万小时，其中150万小时的数据可以直接用于AI模型训练，三十多家前沿AI实验室、机器人企业已经成为它的付费客户。”
Exact source · revision 2Source owner not reported
Reported quantity · video hours available for training: 1500000 hours · Basis not reported
“截至目前，这家企业累计采集的视频素材已经突破200万小时，其中150万小时的数据可以直接用于AI模型训练，三十多家前沿AI实验室、机器人企业已经成为它的付费客户。”
Exact source · revision 2Source owner not reported
Reported quantity · total video hours collected: 2000000 hours · Basis not reported
“截至目前，这家企业累计采集的视频素材已经突破200万小时，其中150万小时的数据可以直接用于AI模型训练，三十多家前沿AI实验室、机器人企业已经成为它的付费客户。”
Exact source · revision 2Source owner not reported
Reported quantity · total video hours available for training: 1500000 hours · Basis not reported
“截至目前，这家企业累计采集的视频素材已经突破200万小时，其中150万小时的数据可以直接用于AI模型训练，三十多家前沿AI实验室、机器人企业已经成为它的付费客户。”
Exact source · revision 2Source owner not reported
Reported quantity · unique_elapsed_hours: 2000000 hours · Basis not reported · Differing source assertions
“今天咱就好好盘一盘～ 200万小时交付，挤进全球Physical AI核心供应链 说实话，真不怪这两年Physical AI对规模化Egocentric Data的需求猛猛猛涨。”
Exact source · revision 1qbitai
Reported quantity · unique_elapsed_hours: 1500000 hours · Basis not reported · Differing source assertions
“（doge） 光是最核心的数据家底，这公司就已经猛卷到了「百万小时」的量级—— 单单向客户交付的数据就超过 200万 小时，此外还拥有 150万 小时以上带有手部追踪和语言标注的数据。”
Exact source · revision 1qbitai
Reported quantity · unique_elapsed_hours: 450000 hours · Basis not reported · Differing source assertions
“月采集产甚至达到了 45万 小时，全球采集网络铺进了 2000 多个真实环境，覆盖足足 50000 多个场景。”
Exact source · revision 1qbitai
Reported quantity · unique_elapsed_hours: 50000 other · Basis not reported · Differing source assertions
“月采集产甚至达到了 45万 小时，全球采集网络铺进了 2000 多个真实环境，覆盖足足 50000 多个场景。”
Exact source · revision 1qbitai
Reported quantity · unique_elapsed_hours: 1000000 hours · Basis not reported · Differing source assertions
“Dyna Robotics当时用100万小时人类第一人称视频预训练，让机器人学习真实世界的物理交互规律。”
Exact source · revision 1qbitai
Reported quantity · unique_elapsed_hours: 1000 hours · Basis not reported · Differing source assertions
“结果还真让它摸出了一条Scaling Law，当预训练数据从1000小时一路增加到100万小时，Dyna-2对人类动作的 预测均方误差降低约12% 。”
Exact source · revision 1qbitai
Reported quantity · unique_elapsed_hours: 1000000 hours · Basis not reported · Differing source assertions
“结果谁成想呢，Dyna-2这100万小时预训练数据的背后最大供应商不是哪家大厂，正是 Maxinsights 。”
Exact source · revision 1qbitai
Evidence dependency changes (9)
- 2026-10-30T21:29:51.941Z · evidence updated · source revision 1. Evidence extraction was updated; current source attributions are shown above.
- 2026-10-30T20:49:08.781Z · evidence updated · source revision 1. Evidence extraction was updated; current source attributions are shown above.
- 2026-10-30T20:48:55.549Z · evidence updated · source revision 1. Evidence extraction was updated; current source attributions are shown above.
- 2026-10-30T20:39:51.667Z · evidence updated · source revision 1. Evidence extraction was updated; current source attributions are shown above.
- 2026-10-30T20:39:36.864Z · evidence updated · source revision 1. Evidence extraction was updated; current source attributions are shown above.
- 2026-10-30T18:48:42.212Z · evidence updated · source revision 2. Evidence extraction was updated; current source attributions are shown above.
- 2026-10-30T18:09:40.655Z · evidence updated · source revision 2. Evidence extraction was updated; current source attributions are shown above.
- 2026-10-30T17:37:36.563Z · evidence updated · source revision 2. Evidence extraction was updated; current source attributions are shown above.
- 2026-10-30T17:12:00.851Z · evidence updated · source revision 2. Evidence extraction was updated; current source attributions are shown above.
Developments
- 2026-10-29 20:39 UTC · 1 reportsMaxinsights (Haiyu Shuwei) Completes $30 Million Seed Funding for Real-World RobChinese robotics — Company news discovery：Maxinsights (Haiyu Shuwei) Completes $30 Million Seed Funding for Real-World Robot Training Data Collection
- 2026-10-22 20:27 UTC · 1 reportsMaxinsights launches MaxLoop and MaxGlove productsRobotics 24/7 — Industry reporting：Maxinsights Launches MaxLoop and MaxGlove to Enhance Physical AI Data Collection
Report timeline
Follow attributed reports and material updates.
- Chinese robotics — Company news discoverySignalMaxinsights (Haiyu Shuwei) Completes $30 Million Seed Funding for Real-World Robot Training Data Collection
Maxinsights (with the Chinese entity Haiyu Shuwei) announced the completion of a $30 million seed round funding, which will be used for real-world robot training data collection. The company's self-developed MaxLoop system significantly improves data quality inspection efficiency, and in collaboration with Genesis AI, it has developed the force-sensing glove MaxGlove, planning to collect millions of hours of force-sensing data.
- Robotics 24/7 — Industry reportingSignalMaxinsights Launches MaxLoop and MaxGlove to Enhance Physical AI Data Collection
Maxinsights, a California-based company, launched MaxLoop, an agent-in-the-loop system for real-time data scoring and correction, and MaxGlove, a sensor glove for capturing tactile and force data. These tools aim to improve data quality and scalability for physical AI applications, with the company reporting 450,000 hours of video processed monthly and partnerships with major robotics foundation models.
- QbitAI — Robotics on WeChatSignalWho is supplying embodied data to OpenAI?
The article explores how Maxinsights has become a core data supplier for leading Physical AI companies such as OpenAI and Google DeepMind. Maxinsights provides high-quality datasets for robot training through large-scale collection and processing of first-person perspective data, achieving scalable delivery across multiple domains. Its business model has shifted from project-based to infrastructure development, highlighting its significant role in the Physical AI data ecosystem.
Event coverage history
Current attention 3·Peak within the comparable range 5（2026-10-30 18:00 UTC）·Change within the comparable range over 24 hours -51%
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